DEVELOPMENT... OpenML
Run
135402

Run 135402

Task 2124 (Supervised Classification) braziltourism Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomTree(2)_I40
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.5971
Per class
Build CPU time
0.072
Build memory
45299000
F measure
0.7023
Per class
Kappa
0.1844
KB relative information score
19.8347
Mean absolute error
0.0811
Mean prior absolute error
0.1103
Number of instances
135
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6979
Per class
Predictive accuracy
0.7185
Prior entropy
1.1781
Recall
0.7185
Per class
Relative absolute error
0.7355
Root mean prior squared error
0.2325
Root mean squared error
0.2838
Root relative squared error
1.2209
SciMark benchmark
935.6292